Design and develop scalable data pipelines and machine learning models, leveraging your expertise in Python and PySpark

Implement data ingestion from multiple sources, including databases, APIs, and streaming platforms, ensuring data quality and reliability

Ensure data security and compliance by implementing best practices and following industry standards

Participate in code reviews and contribute to the development of best practices and standards for data engineering

Mentor junior engineers and provide guidance and support to help them grow their skills and expertise

A minimum of 3 years of experience in Data Software Engineering, showcasing your proficiency in developing and deploying data-driven solutions

Expertise in Python and PySpark, enabling you to design and implement complex data pipelines and machine learning models

Experience with Amazon Web Services, including Lambda, S3, SageMaker, Glue Job, VPC, and API Gateways

Strong understanding of containerized models and their deployment in production environments

Fluent spoken and written English at an upper-intermediate level or higher